1 to 25 of 30 Machine Learning Jobs in the East Midlands

fast-growing financial services organisation. This is an opportunity to join a forward-thinking team focused on driving innovation across the full customer lifecycle using advanced data science and machine learning techniques. About the Role: As a Lead Data Scientist, you will play a pivotal role in developing and enhancing data-driven solutions across fraud prevention, marketing strategy … identify opportunities for process improvement through data. Key Skills & Experience: Proven experience delivering end-to-end data science solutions in a commercial environment. Strong technical expertise in predictive modelling, machine learning, and AI. Proficient in R, Python, SQL, and familiar with visualisation tools like Power BI. Excellent problem-solving, communication, and stakeholder management skills. Experience in applying Gen … ability to work both independently and collaboratively within a team of ~5. A high level of discretion and professionalism when handling sensitive data. A mindset focused on innovation, continuous learning, and delivering outcomes. Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to More ❯

The AI Engineer Level 6 programme helps businesses embrace AI-driven transformation by developing specialists with the skills to design, build, and deploy Generative AI and Machine Learning solutions. Role Assess client needs and implement tailored AI-driven workflows using tools like ChatGPT, Claude, and Botpress. Automate business processes with platforms like Zapier to enhance efficiency. Troubleshoot, optimise … of AI engineers are required. The AI Engineer programme helps businesses embrace AI-driven transformation by developing specialists with the skills to design, build, and deploy Generative AI and Machine Learning solutions. AI Engineer apprentices will empower organisations to: Drive AI innovation Optimise business processes Enhance decision-making The AI Engineer programme integrates live and online workshops with … self-paced learning, employing a guided discovery approach for individual learner contexts. Learners are assigned a Digital Learning Consultant (DLC) for personalised coaching and support. These specialists ensure their successful progress, wellbeing, and readiness for assessments. 90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average. Apprenticeship Standard Data scientist (integrated More ❯

Engineer to join our central engineering team, helping to develop and enhance digital capabilities across a global engineering organisation. This role will focus on applying software, automation, AI/ML, and digital tools to improve engineering processes, product development, and analysis workflows. We are seeking a specialist who can combine programming, engineering knowledge, and data-driven methods to deliver innovative … software tools and automation solutions using Python, C, C++, or C#. Apply Model-Based Design (MBD) and Model-Based Systems Engineering (MBSE) principles to streamline engineering workflows. Integrate AI, machine learning, and data science techniques to support design optimisation, robust design, and engineering analytics. Contribute to cloud-based development (Microsoft Azure) , REST API integrations, and DevOps-driven orchestration … s degree in Mechanical, Aerospace, Electrical Engineering , or related discipline. Strong software development skills (Python, C/C++/C# advantageous). Experience with data science, basic statistics, or machine learning . Understanding of systems engineering principles and product introduction workflows. Excellent communication skills and proficiency in Microsoft Office tools . Desirable Skills: Experience with Model-Based Design More ❯

Product Managers working closely with stakeholders across Engineering, Business Analysis, Data Science, Data Analytics, and Data Governance. What you'll do Define the Product Strategy for Data Platforms, including Machine Learning & AI, Data Analytics, Data Production, and Governance, and create a product roadmap. Invest in solutions and platforms that enhance data, modeling, reporting, and analytical capabilities. Support and … build consensus with senior stakeholders, keeping them informed. Use data to drive continual growth and process improvements. What we're looking for Experience in translating business opportunities into Data, Machine Learning, and AI products in digital or tech sectors. User-focused mindset with strong commercial skills for ROI optimization. Proven thought leadership and delivery of complex products or More ❯

real-world experience on live projects with all the support you need to succeed. We are looking for someone who already has a strong technical foundation in AI and Machine Learning, whether you’ve gained it through self-study, previous work or hands-on projects and who is ready to apply this to practical, real-world challenges in … a number of potential applicant routes. Do you fall into ANY of the following categories: Technically strong in computer science, AI, data science or related fields. A self-taught ML/AI practitioner with demonstrable personal or professional projects. An early-career technologist looking to gain a formal qualification while working on meaningful, real-world applications. Required skills: Solid foundation … in AI/ML principles (e.g. neural networks, NLP, transformers, speech processing). Hands-on experience with Python and popular ML frameworks (e.g. PyTorch, TensorFlow, Hugging Face). Familiarity with LLM APIs and open-source models (e.g. GPT, Claude, Mistral, Whisper). Familiarity with agentic AI frameworks (LangChain, AutoGen, CrewAI, OpenAI Functions). Interest in human-centred design, service delivery More ❯

Reporting: Create dashboards and reports to communicate insights to non-technical stakeholders. Performance Evaluation Assess the impact of housing initiatives and recommend improvements. Machine Learning Applications Use ML to optimise resource allocation, predict tenant behaviour, and automate processes like arrears risk scoring. Data Governance: Maintain data quality, security, and compliance with GDPR and other regulations. Stakeholder Collaboration Work More ❯

seeking a passionate individual to lead projects within our mature team and drive technical excellence. You'll expand your knowledge of modern engineering approaches including working with AI and ML and you'll be working directly with a wide range of modern web technologies including .NET Core, React, and Angular, alongside cloud services like AWS, Azure, and Firebase. As a More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

or related field (or equivalent experience) 1+ years of hands-on AI agent development (multi-agent systems a plus) Strong Python programming skills and experience with modern AI/ML frameworks Familiarity with LLMs, prompt engineering, CoT reasoning, and AI orchestration tools Solid understanding of audio processing and music tech Proven ability to build and integrate APIs and scalable systems More ❯

or related field (or equivalent experience) 1+ years of hands-on AI agent development (multi-agent systems a plus) Strong Python programming skills and experience with modern AI/ML frameworks Familiarity with LLMs, prompt engineering, CoT reasoning, and AI orchestration tools Solid understanding of audio processing and music tech Proven ability to build and integrate APIs and scalable systems More ❯

analysis, population split analysis, and reject analysis. Develop extensive knowledge of data structures, applications, and permissible uses across consumer, commercial, and open banking sectors. Apply statistical techniques (e.g., regression, machine learning, decision trees, CHAID analysis, and cluster analysis) to address business challenges. Utilise data mining tools and programming languages such as SAS, SQL, and Python to prepare data More ❯

Bachelor's degree in data science, Engineering, Computer Science, Statistics, Mathematics, or a related field. 4+ years of experience where your primary role was in architecture, infrastructure, data science, machine learning, or a related AI role. Experience with a cloud platform (ideally Microsoft Azure) Experience with AI platform architecture and infrastructure as code (such as Terraform) Experience with More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

to the next level? At atomic, we're seeking a product-focused individual eager to build and extend their knowledge of modern engineering approaches including working with AI and ML and within a mature team. You'll work with a wide range of technologies including .Net Core, React, and Angular, alongside cloud services like AWS, Azure, and Firebase. You've More ❯

requirements. You'll need to look at the bigger picture through enterprise data modelling, planning ahead for the impact of data changes over time. Design technical architecture solutions for machine learning and AI applications. You will use design data models to ensure our data vision is achieved, ensuring that data is managed properly and meets the needs of More ❯

Cloud is a rapidly growing IaaS company focused on providing innovative cloud solutions and infrastructure services. Our GPU cloud infrastructure solutions accelerate development in industries such as Artificial Intelligence & Machine Learning, VFX & Rendering, Data Science & IoT, and Computer Aided Engineering & MDO. We are dedicated to helping our clients navigate the complexities of the digital world and achieve success More ❯

Lead to join them on a permanent basis They are a digital marketing company that specialize in performance marketing and affiliate platforms. They have created an advanced AI/ML data platform that integrates into Casino and Sports betting brands. It is a search and comparison engine that can help users to make better choices and informed decisions. In this More ❯

m working on a fantastic opportunity with a fast-growing SaaS company that's transforming how the hospitality sector approaches pricing and forecasting . The team is applying advanced ML techniques to solve real commercial problems-everything from demand forecasting to booking behaviour clustering and light NLP use cases. THE ROLE: You'd join a high-calibre team in a … modelling solutions. A Data Scientist (Pricing) will need to: Build prototypes and conduct in-depth experimentation using Python and Pandas Research and develop new pricing models Apply statistical and machine learning techniques Explore and test data-driven approaches to price sensitivity and elasticity Collaborate with a highly technical team YOUR SKILLS AND EXPERIENCE: A successful Data Scientist will More ❯

from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ More ❯

from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ More ❯

Experience and Skills Strong product management experience gained within a B2B and SaaS organisation Experience in credit reference data, behavioural data and fraud prevention data Experience using AI/ML within products Experience with model lifecycle management processes (build, deploy and governance management). Experience of the lenders JTBD in the risk and affordability decision flows for new and existing More ❯